Qwen3.6-35B-A3B
The first and smaller of the two open Qwen3.6 checkpoints, a 35B MoE with 3B active across 256 experts pairing Gated DeltaNet linear attention with sparse experts, under Apache 2.0.
- Params
- 35B, 3B active
- Context
- 262K tokens
- Max output
- 66K
- Released
- License
- Apache 2.0
Hosted API price
List price via Alibaba Cloud · per 1M tokens
- Input
- $0.38 /1M
- Output
- $2.25 /1M
- Cheapest
- $0.07 / $0.42 via EmpirioLabs AI
- Hosted by
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4 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Qwen3.6-35B-A3B, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
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$0.07 | $0.42 | $0.04 | $1.54 | Visit website |
|
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$0.25 | $1.49 | $5.48 | Visit website | |
|
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$0.38 | $2.25 | $8.30 | Visit website | |
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$0.40 | $0.40 | $0.20 | $4.80 | Visit website |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Qwen3.6-35B-A3B needs about 22 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 2× RTX 4060 Ti at about $173 a month.
That costs the same as roughly 250M tokens a month on Alibaba Cloud's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 22 GB |
|
$173 | 250M tokens /mo |
| 8-bit FP8 / INT8 | 38 GB |
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$202 | 291M tokens /mo |
| 16-bit FP16 / BF16 | 73 GB |
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$403 | 583M tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Similarly priced models
The models nearest Qwen3.6-35B-A3B by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Qwen3.6-35B-A3B |
|---|---|---|---|---|---|---|
|
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$0.0983 | $0.05 | $0.34 | 33K | −23% | |
|
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$0.10 | $0.10 | $0.10 | 256K | −22% | |
|
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$0.1083 | $0.08 | $0.25 | 1M | −16% | |
|
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$0.1083 | $0.05 | $0.40 | 400K | May 2024 | −16% |
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$0.1267 | $0.06 | $0.46 | 262K | −1% | |
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$0.1283 | $0.07 | $0.42 | 262K | ||
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$0.1333 | $0.10 | $0.30 | 128K | Aug 2024 | +4% |
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$0.1333 | $0.10 | $0.30 | 256K | Jan 2025 | +4% |
|
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$0.1333 | $0.10 | $0.30 | 33K | +4% | |
|
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$0.15 | $0.10 | $0.40 | 1M | Jan 2025 | +17% |
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$0.15 | $0.10 | $0.40 | 1M | Jun 2024 | +17% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What Qwen3.6-35B-A3B accepts and can do, as published by Alibaba Cloud.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Video Accepts video as input.
- Reasoning Thinks before it answers, always on or as a switchable mode.
- Function calling Connect to external tools, APIs, and systems.
- Structured output Return responses in structured formats like JSON.
- Code execution Write and execute code in a sandboxed environment.
- MCP Connect to services via Model Context Protocol.
Common questions
What is Qwen3.6-35B-A3B good for?
Agentic coding and text, image and video tasks on a sparse model with 3B active of 35B parameters. Apache 2.0 weights, on a single consumer GPU.
When is Qwen3.6-35B-A3B not a good fit?
Audio input or image output. There is no built-in web search, but a host or your own tool loop can add one.
What is the cheapest way to run Qwen3.6-35B-A3B?
Hosted, unless you push serious volume. Alibaba Cloud charges $0.38 in / $2.25 out per 1M tokens. The cheapest rental that fits is 2x RTX 4060 Ti at $173 a month, which costs the same as about 250M tokens a month on that API.
How does Qwen3.6-35B-A3B compare with Qwen3.5-35B-A3B?
Alibaba says Qwen3.6-35B-A3B keeps the Qwen3.5-35B-A3B layout and puts its gains into agentic coding, handling frontend work and repository-level reasoning more fluently, and adds an option to carry reasoning context across turns. Same 262K-token context and text, image and video input. Qwen3.6-35B-A3B lists at 52% more per 1M input tokens and 13% more per 1M output tokens than Qwen3.5-35B-A3B. It came out 2 months later.
Can I self-host Qwen3.6-35B-A3B?
Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 22 GB of GPU memory, which starts at roughly $173 a month on the cheapest rental that fits.
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